Search results for "Dirichlet process mixtures"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Francois Caron, Manuel Davy, Arnaud Doucet, Emmanuel Duflos, Philippe Vanheeghe	Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures.	IEEE Transactions on Signal Processing	2008	DBLP DOI BibTeX RDF
1	Asma Rabaoui, Nicolas Viandier, Emmanuel Duflos, Juliette Marais, Philippe Vanheeghe	Dirichlet Process Mixtures for Density Estimation in Dynamic Nonlinear Modeling: Application to GPS Positioning in Urban Canyons.	IEEE Transactions on Signal Processing	2012	DBLP DOI BibTeX RDF
1	Marina Meila, Harr Chen	Dirichlet Process Mixtures of Generalized Mallows Models	CoRR	2012	DBLP BibTeX RDF
1	Lauren Hannah, David M. Blei, Warren B. Powell	Dirichlet Process Mixtures of Generalized Linear Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Min Lei, Guang Meng	Classification of the Action Surface EMG Signals Based on the Dirichlet Process Mixtures Method.	ICIRA	2011	DBLP DOI BibTeX RDF
1	Jianyong Sun, Jonathan M. Garibaldi	Robust Dirichlet Process mixtures.	ICNC	2011	DBLP DOI BibTeX RDF
1	Lauren Hannah, David M. Blei, Warren B. Powell	Dirichlet Process Mixtures of Generalized Linear Models.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Yener Ülker, Bilge Günsel, Ali Taylan Cemgil	Sequential Monte Carlo Samplers for Dirichlet Process Mixtures.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Marina Meila, Harr Chen	Dirichlet Process Mixtures of Generalized Mallows Models.	UAI	2010	DBLP BibTeX RDF
1	Ian Porteous, Arthur U. Asuncion, Max Welling	Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures.	AAAI	2010	DBLP BibTeX RDF
1	Yang Xu, Katherine A. Heller, Zoubin Ghahramani	Tree-Based Inference for Dirichlet Process Mixtures.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Babak Shahbaba, Radford M. Neal	Nonlinear Models Using Dirichlet Process Mixtures.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Carl Edward Rasmussen, Bernard J. de la Cruz, Zoubin Ghahramani, David L. Wild	Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures.	IEEE/ACM Trans. Comput. Biology Bioinform.	2009	DBLP DOI BibTeX RDF
1	Peter Orbanz, Joachim M. Buhmann	Nonparametric Bayesian Image Segmentation.	International Journal of Computer Vision	2008	DBLP DOI BibTeX RDF	Nonparametric Bayesian methods, Dirichlet process mixtures, Clustering, Image segmentation, Markov random fields, Markov chain Monte Carlo, Spatial statistics
1	Kenko Ohta, Emmanuel Duflos, Philippe Vanheeghe, Masuzo Yanagida	Speech recognitionwith speech density estimation by the Dirichlet Process Mixture.	ICASSP	2008	DBLP DOI BibTeX RDF
1	Francois Caron, Manuel Davy, Arnaud Doucet	Generalized Polya Urn for Time-varying Dirichlet Process Mixtures.	UAI	2007	DBLP BibTeX RDF
1	Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jordan	Image Denoising with Nonparametric Hidden Markov Trees.	ICIP	2007	DBLP DOI BibTeX RDF
1	Kenichi Kurihara, Max Welling, Nikos A. Vlassis	Accelerated Variational Dirichlet Process Mixtures.	NIPS	2006	DBLP BibTeX RDF
1	Jon D. McAuliffe, David M. Blei, Michael I. Jordan	Nonparametric empirical Bayes for the Dirichlet process mixture model.	Statistics and Computing	2006	DBLP DOI BibTeX RDF	Bayesian nonparametrics, Clusetring, Pólya urn schemes, Density estimation, Kernel density estimates, Gibbs sampling